Own end-to-end delivery of data platform products built on Databricks and AWS, balancing KTLO and new feature(s) development.
Lead and manage a cross-functional team of data engineers and product partners, while remaining technically hands-on when needed.
Actively contribute to data engineering design and implementation, including pipelines, data models, transformations, and performance tuning.
Translate business requirements into scalable data products and well-prioritized execution plans.
Drive platform reliability, performance, scalability, and cost optimization across AWS and Databricks.
Establish and enforce best practices for data engineering, Spark development, CI/CD, monitoring, and data quality.
Oversee production operations, incident management, and continuous improvement for data pipelines and analytics workloads.
Partner with architecture, security, and compliance teams to ensure solutions meet enterprise and regulatory standards.
Communicate clearly with stakeholders on progress, risks, delivery metrics, and business impact.
Mentor and grow engineering talent, fostering strong technical ownership and a product-centric mindset.

Requirements

Proven experience leading product or platform teams supporting cloud-based data solutions on Databricks and AWS.
Strong understanding of data engineering, distributed processing, and cloud-native architectures.
Demonstrated ability to manage both KTLO operations and new product development simultaneously.
Experience translating business needs into prioritized roadmaps and measurable delivery outcomes.

Benefits

Health (medical, dental, vision) benefits start on day 1 of employment.
Company match 401K and other benefits available within months of starting.
New employees are eligible to take advantage of flexible vacation policy after ninety (90) calendar days of employment.
Company provided computer for work use.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipelinesdata modelsdata transformationsperformance tuningcloud-native architecturesCI/CDSpark developmentincident managementcost optimization

Soft Skills

leadershipcommunicationmentoringcross-functional team managementstakeholder engagementtechnical ownershipproduct-centric mindset